Collabagents Plataporma sa Kolaborasyon nga Multi-Agent by Jiahui Yu and Xudong Xing

Collabagents Plataporma sa Kolaborasyon nga Multi-Agent by Jiahui Yu and Xudong Xing is a highly esteemed winner of the very prestigious 2026 A' Design Award nga Bronse in Disenyo sa Interface, Interaksyon ug Kasinatian sa Tiggamit Competition Category.

BronseInterface· 2026

Collabagents Plataporma sa Kolaborasyon nga Multi-Agent

by Jiahui Yu and Xudong Xing

Client: CollabAgents

A' Design Award nga Bronse Winner in Interface Category

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Verified Award Winner

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View at A' Design Award Press Release Award Badge

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The Design

About Collabagents Plataporma sa Kolaborasyon nga Multi-Agent

Ang CollabAgents usa ka plataporma sa kolaborasyon nga multi-agent nga gidisenyo alang sa komplikado nga mga workflow. Ang mga tiggamit maghimo og workflow ug mo-assign og mga tahas sa mga tawo nga nalambigit. Kung adunay kulang nga tahas, usa ka artificial intelligence agent ang mopuli niana nga tahas aron magpadayon ang proseso. Ang trabaho gi-organisar isip mga konektadong node, ug ang pag-edit sa usa ka node mag-update sa mga sunod nga lakang. Gigamit ang structured, code-based nga komunikasyon aron mabalhin ang impormasyon nga tukma ug maminusan ang kalibog. Gihimo sa CollabAgents ang linear nga mga workflow ngadto sa adaptive nga mga sistema nga motubag sa kausaban.

The Recognition

About the A' Design Award nga Bronse

Collabagents Plataporma sa Kolaborasyon nga Multi-Agent usa ka mananaog sa A' Design Award nga Bronse, usa ka labihan ka prestihiyoso nga pag-ila nga gihatag sa talagsaon nga mga disenyo nga gipaila sa pagkamamugnaon, kaabtik, ug kamatngon. Ang mga mananaog sa Bronse mga hanas kaayo ug makapahibulong nga mamugnaon nga mga artipakto nga nagpamatuod sa dakong kasinatian, imahinasyon, ug kaabtik sa ilang mga tigdesinyo. Gilauman nga ang Collabagents Plataporma sa Kolaborasyon nga Multi-Agent mahimong gipabilhan, gihangaan, ug gihigugma nga butang nga talagsaon ang pagkapropesyonal ug bag-o. Kini nga disenyo nga nakadaog og A' Design Award nga Bronse naglakip sa labing maayong mga praktis sa arte, siyensya, disenyo, ug teknolohiya ug maayo kaayo tungod sa pagtagad niini sa mga detalye. Collabagents Plataporma sa Kolaborasyon nga Multi-Agent nagtagbaw sa mga panginahanglan sa matahom nga paagi, nag-igo sa mga tinguha, nagbihag sa mga pagbati, ug nagdani sa pagkamausisaon.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: CollabAgents is a multi-agent collaboration system that simulates missing roles with AI agents to ensure continuous workflows. Node-level editing enables targeted updates, reducing rework by over 85%, while code-based communication improves precision and speed. It transforms linear workflows into adaptive, resilient systems.
Dimensions & Packaging: The system features a node-based workflow structure, role simulation modules, and dynamic process propagation. It supports real-time updates, modular task execution, and scalable multi-agent coordination. Key capabilities include node-level editing, automatic downstream updates, and role auto-completion to maintain continuous workflow execution.
Tags: multi-agent, collaboration, workflow, AI system, interaction design, role simulation, automation, UX, decision system
Production Technology: CollabAgents is built using AI-driven multi-agent architecture, workflow modeling, and structured data exchange. The system leverages role-based agent simulation, node-level state management, and real-time synchronization to enable adaptive collaboration. Code-based communication ensures precise information transfer and reduces ambiguity across processes.
Design Challenge: The main challenge was designing a system that balances automation with user control in complex workflows.

Traditional collaboration relies heavily on human coordination, making it difficult to handle missing roles, dynamic changes, and process interruptions. The challenge was to create a system that allows targeted intervention without breaking the overall workflow.

This was addressed through node-level editing and role simulation, enabling flexible adjustments while maintaining system stability and continuity.
Research: The project is based on research into cross-functional collaboration challenges, including workflow inefficiencies, role dependency, and communication breakdowns.

Methods included workflow analysis, scenario mapping, and observation of real-world team processes. The research identified key issues such as delays caused by missing roles and the need for more adaptive systems.

The design explores how multi-agent systems can simulate roles, improve coordination, and reduce rework, resulting in more efficient and resilient collaboration.
Inspiration: CollabAgents is inspired by the complexity of cross-functional collaboration, where delays often result from missing roles and fragmented communication. It explores how AI agents can simulate expertise and fill capability gaps in real time, transforming collaboration into a more adaptive and efficient process.
Project Duration: The project was developed between 2025 and 2026 in the United States as an independent concept design focused on future collaboration systems.
Operation Flow: Users start by selecting or creating a workflow and assigning roles. If roles are missing, AI agents automatically step in to continue the process.

Users can interact with specific steps, make changes, and instantly see updates applied to the rest of the workflow. Instead of restarting the entire process, only affected parts are adjusted.

This enables smoother collaboration, faster decision-making, and reduces delays caused by miscommunication or missing inputs.
Patents: No patents or trademarks are registered for this project.
Team Members: Jiahui Yu
Xudong Xing
Image Credits: Image #1: Creators Jiahui Yu and Xudong Xing, CollabAgents, 2025.
Image #2: Creators Jiahui Yu and Xudong Xing, CollabAgents, 2025.
Image #3: Creators Jiahui Yu and Xudong Xing, CollabAgents, 2025.
Image #4: Creators Jiahui Yu and Xudong Xing, CollabAgents, 2025.
Image #5: Creators Jiahui Yu and Xudong Xing, CollabAgents, 2025.